Abstract

AI feels like a black box because we teach symbols and terminology before developing intuition.

In this project, I turn neural networks into something you can play with and understand through interaction.

Interactive Neural Networks is an educational exploration which aims to enhance public’s understanding of neural networks by developing an interactive online guide that explains their inner workings. Through the use of text explanations, real-time simulations, and interactive graphics, users can actively engage with the learning process by modifying parameters and observing the corresponding effects.

This approach fosters a more intuitive and hands-on understanding of complex concepts, contrasted with traditional, passive learning methods. This project contributes to the principles of Explainable AI (XAI) by promoting transparency in AI decision-making process, building trust and encouraging responsible use of this technology.